waterfutures CVE Vulnerabilities & Metrics

Focus on waterfutures vulnerabilities and metrics.

Last updated: 29 Mar 2026, 22:25 UTC

About waterfutures Security Exposure

This page consolidates all known Common Vulnerabilities and Exposures (CVEs) associated with waterfutures. We track both calendar-based metrics (using fixed periods) and rolling metrics (using gliding windows) to give you a comprehensive view of security trends and risk evolution. Use these insights to assess risk and plan your patching strategy.

For a broader perspective on cybersecurity threats, explore the comprehensive list of CVEs by vendor and product. Stay updated on critical vulnerabilities affecting major software and hardware providers.

Global CVE Overview

Total waterfutures CVEs: 1
Earliest CVE date: 06 Feb 2026, 21:16 UTC
Latest CVE date: 06 Feb 2026, 21:16 UTC

Latest CVE reference: CVE-2026-25632

Rolling Stats

30-day Count (Rolling): 0
365-day Count (Rolling): 1

Calendar-based Variation

Calendar-based Variation compares a fixed calendar period (e.g., this month versus the same month last year), while Rolling Growth Rate uses a continuous window (e.g., last 30 days versus the previous 30 days) to capture trends independent of calendar boundaries.

Variations & Growth

Month Variation (Calendar): -100.0%
Year Variation (Calendar): 0%

Month Growth Rate (30-day Rolling): -100.0%
Year Growth Rate (365-day Rolling): 0.0%

Monthly CVE Trends (current vs previous Year)

Annual CVE Trends (Last 20 Years)

Critical waterfutures CVEs (CVSS ≥ 9) Over 20 Years

CVSS Stats

Average CVSS: 0.0

Max CVSS: 0

Critical CVEs (≥9): 0

CVSS Range vs. Count

Range Count
0.0-3.9 1
4.0-6.9 0
7.0-8.9 0
9.0-10.0 0

CVSS Distribution Chart

Top 5 Highest CVSS waterfutures CVEs

These are the five CVEs with the highest CVSS scores for waterfutures, sorted by severity first and recency.

All CVEs for waterfutures

CVE-2026-25632 waterfutures vulnerability CVSS: 0 06 Feb 2026, 21:16 UTC

EPyT-Flow is a Python package designed for the easy generation of hydraulic and water quality scenario data of water distribution networks. Prior to 0.16.1, EPyT-Flow’s REST API parses attacker-controlled JSON request bodies using a custom deserializer (my_load_from_json) that supports a type field. When type is present, the deserializer dynamically imports an attacker-specified module/class and instantiates it with attacker-supplied arguments. This allows invoking dangerous classes such as subprocess.Popen, which can lead to OS command execution during JSON parsing. This also affects the loading of JSON files. This vulnerability is fixed in 0.16.1.